Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Changes in PBMC gene expression profiles after influenza vaccination in healthy human subjects

ABSTRACT: Daily sampling of peripheral blood from human subjects vaccinated for influenza was done immediately before vaccination and for 10 days after vaccination. Temporal patterns of gene expression, determined by RNA-seq, in unfractionated PBMC suggested migration of myeloid/dendritic cell lineage cells one day after vaccination. Five subjects, 11 time points per subject (pre-vaccination and daily for 10 days post-vaccination)

ORGANISM(S): Homo sapiens

SUBMITTER: Stephen Welle

PROVIDER: E-GEOD-45735 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

High-resolution temporal response patterns to influenza vaccine reveal a distinct human plasma cell gene signature.

Henn Alicia D AD Wu Shuang S Qiu Xing X Ruda Melissa M Stover Michael M Yang Hongmei H Liu Zhiping Z Welle Stephen L SL Holden-Wiltse Jeanne J Wu Hulin H Zand Martin S MS

Scientific reports 20130101

To identify sources of inter-subject variation in vaccine responses, we performed high-frequency sampling of human peripheral blood cells post-vaccination, followed by a novel systems biology analysis. Functional principal component analysis was used to examine time varying B cell vaccine responses. In subjects vaccinated within the previous three years, 90% of transcriptome variation was explained by a single subject-specific mathematical pattern. Within individual vaccine response patterns, a ...[more]

PMID: 23900141

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Project description:Cancer cells metastasize through the bloodstream either as single migratory circulating tumor cells (CTCs) or as multicellular groupings (CTC-clusters). Existing technologies for CTC enrichment are designed primarily to isolate single CTCs, and while CTC-clusters are detectable in some cases, their true prevalence and significance remain to be determined. Here, we developed a microchip technology (Cluster-Chip) specifically designed to capture CTC-clusters independent of tumor-specific markers from unprocessed blood. CTC-clusters are isolated through specialized bifurcating traps under low shear-stress conditions that preserve their integrity and even two-cell clusters are captured efficiently. Highly parallel architecture of the chip allows deterministic screening of clinically relevant volumes of blood samples at slow, and hence, non-damaging flow rates. Using the Cluster-Chip, we identify CTC-clusters in 30-40% of patients with metastatic cancers of the breast, prostate and melanoma. RNA sequencing of CTC-clusters confirms their tumor origin and identifies leukocytes within the clusters as being tissue-derived macrophages. Together, the development of a device for efficient capture of CTC-clusters will enable detailed characterization of their biological properties and role in cancer metastasis. We used the Cluster-Chip to capture CTC-clusters from the blood of a breast cancer patient with high CTC counts, released CTC-clusters in solution, stained them with TexasRed-conjugated antibodies against the leukocyte cell surface markers CD45, CD14 and CD16, and then isolated intact CTC-clusters individually using a micromanipulator. From a single time point, we retrieved 15 CTC-clusters, and each of those clusters was individually subjected to RNA-sequencing analysis using a next generation platform (SOLiD 5500). In addition, two leukocytes were isolated from the blood of a healthy donor were individually subjected to RNA-sequencing analysis using the same platform.

Dataset Information

Changes in PBMC gene expression profiles after influenza vaccination in healthy human subjects

Publications

High-resolution temporal response patterns to influenza vaccine reveal a distinct human plasma cell gene signature.

Similar Datasets

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